ft-whisper-large-v2-audioscorrigidos_2

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ft-whisper-large-v2-audioscorrigidos_2

This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.1441
• eval_wer: 32.6136
• eval_runtime: 17.5177
• eval_samples_per_second: 1.37
• eval_steps_per_second: 0.171
• epoch: 416.6667
• step: 5000

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 10000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.45.2
• Pytorch 2.2.1
• Datasets 3.0.1
• Tokenizers 0.20.1